{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_id": "00000-907e5ad8-c523-4780-842f-be1b1db8593a",
    "output_cleared": false
   },
   "source": [
    "# PET simulation analysis\n",
    "\n",
    "Run the simulation with `main1_pet_vereos_f18.py`.\n",
    "The output will be the file `output/output.root`.\n",
    "\n",
    "Vocabulary:\n",
    "- events: (Geant4) primary particle tracked by the MC engine (source)\n",
    "- track: (Geant4) every tracked particle is a track (including primary and secondaries)\n",
    "- step: (Geant4) tracking is divided in step\n",
    "- hits: (Gate) individual interaction inside a detector (with energy deposition)\n",
    "- singles: combined hits in a given element (i.e. a single detector)\n",
    "\n",
    "The following is not yet available in this Gate version:\n",
    "- coincidences: time associated singles\n",
    "- trues: real, expected coincidences\n",
    "- randoms: accidental coincidence\n",
    "- scatters: coincidence events resulting from scattered photons inside the phantom\n",
    "- prompts: total number of detected coincidences (sum of Trues + Randoms + Scatters)\n",
    "- delays: estimated number of scattered coincidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:47.580512Z",
     "start_time": "2024-01-23T19:56:47.555764Z"
    },
    "cell_id": "00001-794edcf5-242a-4a8e-9f59-d73b9c63e6ca",
    "execution_millis": 1,
    "execution_start": 1605001897863,
    "output_cleared": false,
    "source_hash": "550a1e4d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[38;5;8mImporting opengate (thread 37894066) ... \u001b[0m\u001b[38;5;8mdone\u001b[0m\n",
      "Hello World\n"
     ]
    }
   ],
   "source": [
    "# %matplotlib notebook\n",
    "# some functions are defined in the file called pet_helpers.py\n",
    "# they will be available with p.function_name()\n",
    "# Example: \n",
    "import pet_helpers as p\n",
    "p.hello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:47.960677Z",
     "start_time": "2024-01-23T19:56:47.955493Z"
    },
    "cell_id": "00002-80f6f5bb-8cb5-4a52-bc37-5da12884cae3",
    "execution_millis": 1,
    "execution_start": 1605001897864,
    "output_cleared": false,
    "source_hash": "35dca335"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Current Working Directory (CWD) is /Users/dsarrut/src/gate/dqprm/2025/gate-exercices/7_pet\n",
      "The output folder is /Users/dsarrut/src/gate/dqprm/2025/gate-exercices/7_pet/output\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from pathlib import Path\n",
    "# The following command display the current working directory (where jupyter has been launched)\n",
    "# and select the output folder\n",
    "cwd = os.getcwd()\n",
    "folder = Path(cwd) / 'output'\n",
    "if (not folder.is_dir()):\n",
    "    print(f'ERROR: {folder} is not a folder.')\n",
    "print(f'The Current Working Directory (CWD) is {cwd}')\n",
    "print(f'The output folder is {folder}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:48.678277Z",
     "start_time": "2024-01-23T19:56:48.672680Z"
    },
    "cell_id": "00003-9dea61cd-664d-4568-8e93-58fc8ca52b4e",
    "execution_millis": 41,
    "execution_start": 1605001897865,
    "output_cleared": false,
    "source_hash": "4baefa7b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of simulated events (primaries): -1\n",
      "Simulation timing: -1 to -1 seconds\n"
     ]
    }
   ],
   "source": [
    "# print information about the simulation by reading the stat.txt file\n",
    "stat = os.path.join(folder, 'stats_vereos.txt')\n",
    "fs = open(stat, 'r').read()\n",
    "n_events = int(p.get_stat_value(fs, '# NumberOfEvents = '))\n",
    "t_start = int(p.get_stat_value(fs,  '# StartDate             = '))\n",
    "t_stop = int(p.get_stat_value(fs,   '# EndDate               = '))\n",
    "print(f'Number of simulated events (primaries): {n_events}')\n",
    "print(f'Simulation timing: {t_start} to {t_stop} seconds')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_id": "00005-586a7cd2-fe06-4581-988a-efc03fedb97e",
    "output_cleared": false
   },
   "source": [
    "The content of this root file is a set of data, organized in keys. For example, you can retrieve all the particles information of the 'Hits' or of the 'Singles'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:50.017295Z",
     "start_time": "2024-01-23T19:56:50.012094Z"
    },
    "cell_id": "00006-45ae0a3b-10e0-41aa-834d-111c0b67119d",
    "execution_millis": 55,
    "execution_start": 1605001897907,
    "output_cleared": false,
    "source_hash": "286ae4c6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tree Hits;1\n",
      "Tree Singles1;1\n",
      "Tree Singles2;1\n",
      "Tree Singles3;1\n",
      "Tree Singles4;1\n",
      "Tree Singles5;1\n",
      "\n",
      "Number of hits : 6464.0\n",
      "Branch PostPosition_X\n",
      "Branch PostPosition_Y\n",
      "Branch PostPosition_Z\n",
      "Branch TotalEnergyDeposit\n",
      "Branch PreStepUniqueVolumeID\n",
      "Branch GlobalTime\n",
      "Branch LocalTime\n"
     ]
    }
   ],
   "source": [
    "# opening the files\n",
    "import uproot\n",
    "filename = os.path.join(folder, \"output_vereos.root\")\n",
    "f = uproot.open(filename)\n",
    "\n",
    "# print the list of trees\n",
    "for t in f:\n",
    "    print(f'Tree {t}')\n",
    "\n",
    "# get the first tree and print the branches\n",
    "hits = f['Hits']\n",
    "print()\n",
    "print(f'Number of hits : {hits.num_entries}')\n",
    "for b in hits:\n",
    "    print(f'Branch {b.name}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:51.371342Z",
     "start_time": "2024-01-23T19:56:51.366815Z"
    },
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "# helper function to plot X,Y position plot\n",
    "def plot_position(a, values, title, point_size=1):\n",
    "    position_x = p.tget(values, 'PostPosition_X')\n",
    "    position_y = p.tget(values, 'PostPosition_Y')\n",
    "    a.scatter(position_x, position_y, s=point_size)\n",
    "    a.set_aspect(\"equal\", adjustable=\"box\")\n",
    "    a.set_xlabel(\"mm\")\n",
    "    a.set_ylabel(\"mm\")\n",
    "    a.set_title(f\"Transaxial detection position ({title}) \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:55.737744Z",
     "start_time": "2024-01-23T19:56:55.195593Z"
    },
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "fig, ax = plt.subplots(1, 2, figsize=(18, 10))\n",
    "\n",
    "# plot the trans-axial position\n",
    "plot_position(ax[0], hits, 'Hits')\n",
    "\n",
    "# idem for the singles\n",
    "singles1 =  f['Singles1']\n",
    "plot_position(ax[1], singles1, 'Singles1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:56.570050Z",
     "start_time": "2024-01-23T19:56:56.455595Z"
    },
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# \"zoom\" on a given crystal\n",
    "fig, ax = plt.subplots(1, 1, figsize=(10, 10))\n",
    "\n",
    "# plot the trans-axial position\n",
    "plot_position(ax, hits, 'Hits', 6)\n",
    "ax.set_xlim(-450, -300)\n",
    "ax.set_ylim(-10, 150)\n",
    "\n",
    "# idem for the singles\n",
    "singles1 =  f['Singles1']\n",
    "plot_position(ax, singles1, 'Singles1', 10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_id": "00013-5f0b578c-ba43-4460-8543-3aa1f420c99e",
    "output_cleared": false
   },
   "source": [
    "# Plot the energy  of the hits and singles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:58.531150Z",
     "start_time": "2024-01-23T19:56:58.103427Z"
    },
    "cell_id": "00014-11380b88-8612-40df-bf42-2ad92955746c",
    "execution_millis": 1517,
    "execution_start": 1605001899146,
    "output_cleared": false,
    "source_hash": "2862fa07"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(20, 5))\n",
    "\n",
    "# hits\n",
    "energy = hits.arrays()['TotalEnergyDeposit']/0.001\n",
    "a = ax[0]\n",
    "n, bins, patches = a.hist(energy, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Edep (Hits)')\n",
    "a.set_xlabel('Energy in keV');\n",
    "\n",
    "# singles\n",
    "energy = singles1.arrays()['TotalEnergyDeposit']/0.001\n",
    "a = ax[1]\n",
    "n, bins, patches = a.hist(energy, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Edep (Singles1)')\n",
    "a.set_xlabel('Energy in keV');\n",
    "\n",
    "\n",
    "# singles after E blurring \n",
    "singles3 =  f['Singles3']\n",
    "energy = singles3.arrays()['TotalEnergyDeposit']/0.001\n",
    "a = ax[2]\n",
    "n, bins, patches = a.hist(energy, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Edep (Singles3 after E blurring)')\n",
    "a.set_xlabel('Energy in keV');\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-01-23T19:56:59.887098Z",
     "start_time": "2024-01-23T19:56:59.467398Z"
    },
    "cell_id": "00014-11380b88-8612-40df-bf42-2ad92955746c",
    "execution_millis": 1517,
    "execution_start": 1605001899146,
    "output_cleared": false,
    "source_hash": "2862fa07"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time in ns')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(20, 5))\n",
    "\n",
    "# singles\n",
    "times = singles1.arrays()['GlobalTime']/1e9\n",
    "a = ax[0]\n",
    "n, bins, patches = a.hist(times, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Global time of Singles1')\n",
    "a.set_xlabel('Time in sec')\n",
    "\n",
    "# singles after E blurring \n",
    "singles4 =  f['Singles4']\n",
    "times = singles4.arrays()['GlobalTime']/1e9\n",
    "a = ax[1]\n",
    "n, bins, patches = a.hist(times, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Global time of Singles4 after time blurring')\n",
    "a.set_xlabel('Time in ns')\n",
    "\n",
    "# singles\n",
    "times = singles1.arrays()['LocalTime']\n",
    "a = ax[2]\n",
    "n, bins, patches = a.hist(times, 200, facecolor='green', alpha=0.75)\n",
    "a.set_title('Local time of Singles1')\n",
    "a.set_xlabel('Time in ns')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "deepnote_execution_queue": [],
  "deepnote_notebook_id": "a3da348a-5965-4f9e-981e-e4b139eb47c3",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
